Hermes hardware guide
Hermes does not have one universally “best” computer. The right choice depends on where agent state should live, whether work must continue after your laptop closes, and how much setup and recovery work you want to own.
Architecture and product scope reviewed July 13, 2026. No synthetic benchmark claims.
Decision checklist
Processor names are the easy part. These questions decide whether the system will actually fit the way you use Hermes.
Experiments can live on a daily computer. Schedules and long tasks benefit from a machine that remains powered and connected.
Browser profiles, reauthentication, downloads, and website behavior become part of the system you must operate.
Local devices sit near your normal network and accounts. VPS systems are remote by nature and use datacenter infrastructure.
Installation is only day one. Updates, storage, diagnostics, and broken dependencies belong to someone afterward.
Memory, credentials, chat state, and configuration matter more over time. Decide the recovery path before the device fails.
A tool-using runtime with a hosted model and a large model running locally have very different compute requirements.
Deployment options
Every option can be valid. The meaningful difference is the environment and operational responsibility you are choosing.
| Option | Best when | You operate | Main trade-off |
|---|---|---|---|
| Daily laptop | You are experimenting and do not need continuous operation. | Hermes, browser permissions, updates, state, and backups on the machine you use every day. | Sleep and travel interrupt work; the agent shares a boundary with daily files and accounts. |
| VPS | You want remote infrastructure and are comfortable operating Linux in a datacenter environment. | Server security, browser sessions, credentials, updates, diagnostics, backups, and recovery. | Remote access is natural, but browser identity, datacenter IP behavior, and maintenance remain your responsibility. |
| DIY Raspberry Pi | You enjoy building a compact local runtime and want to control every layer. | OS image, Hermes, storage, browser stack, updates, diagnostics, backups, and recovery. | Low raw hardware cost comes with the highest owner involvement in this group. |
| Mac mini or spare PC | You want more general-purpose compute or may add heavier local workloads. | The complete agent stack and the machine lifecycle, unless another product layer supplies it. | More compute does not remove browser setup, updates, permissions, or the recovery plan. |
| MangoTart | You want a local, dedicated Hermes computer without assembling the supported runtime yourself. | Your model provider, connected accounts, permissions, workflows, and backup password. | Less DIY freedom in exchange for a purpose-built Agent OS path and integrated operations. |
Avoid the biggest category mistake
Hermes coordinates tools, memory, schedules, messaging, and browser work. Local model inference is a separate sizing problem.
If reasoning comes from ChatGPT or another hosted provider, choose the agent computer around dependable operation, browser behavior, storage, credentials, and recovery. The provider supplies the heavy model compute.
If your goal is to run a large model locally, size that workload separately. It may require substantially more memory and accelerator capacity; a small runtime device is not a replacement for a local-AI workstation.
When local and dedicated fits
A dedicated local computer is useful when you want work to continue independently and agent state to live on hardware you control.
Agent files, credentials, and browser sessions do not need to share the same operating environment as your main laptop.
Websites see traffic from the network where the device actually lives, rather than a generic datacenter environment.
Tasks can continue while the daily laptop sleeps, as long as the agent computer, network, provider, and connected services remain available.
The agent still has real authority on its own device and connected accounts. Permissions, provider policies, and review practices still matter.
DIY or productized
The decision is less about whether you can install Hermes and more about whether you want to operate the complete environment afterward.
You enjoy Linux administration, want to replace every component, accept maintaining browser automation and recovery, and optimize first for raw hardware cost.
You want Hermes, the browser runtime, local console, updates, diagnostics, and backup/recovery controls delivered together, and value a supported path over maximum customization.
MangoTart is based on a Raspberry Pi 5 with 8 GB RAM and a 250 GB NVMe SSD. Those specifications support the product; they are not the main promise. The differentiator is Agent OS and the maintained runtime around Hermes.
Choose for the workload and the responsibility you want—not for the biggest number in a product table.
MangoTart packages the local, dedicated path into one supported agent computer. You still choose the provider, accounts, permissions, and work.
See the dedicated Hermes computer